Design of Low Carbon Development Path for Urban Power System Based on System Dynamics: A Case Study of Jinan City, China
システムダイナミクスに基づく都市電力システムの低炭素開発経路の設計：中国済南市を事例として (AI 翻訳)
Yue Xu, Linyu Wu, Q P Wang, Song Hu, Linfeng Sun, Peichao Xu, Ah Chung Tsoi, Cheng Peng
🤖 gxceed AI 要約
日本語
本論文は、中国済南市の都市電力システムを対象に、システムダイナミクスモデルを構築し、経済・エネルギー・環境を考慮した低炭素開発経路を設計した。産業構造、エネルギー貯蔵技術、エネルギー消費強度の3つの規制要因を特定し、最適シナリオでは二酸化炭素排出強度が251.52 kgCO2/104 CNYに低減できると示した。最終的に「産業構造→エネルギー消費強度→エネルギー貯蔵技術」の順序を提案している。
English
This paper uses system dynamics to model the urban power system of Jinan, China, identifying four key factors under three regulatory dimensions (industrial structure, energy storage technology, energy consumption intensity). The optimal scenario reduces carbon emission intensity to 251.52 kgCO2/104 CNY by 2025. The recommended path is 'industrial structure → energy consumption intensity → energy storage technology'.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
中国の都市電力システムの低炭素化経路をシステムダイナミクスで分析した事例。日本でも同様の手法を都市計画に応用する際の参考となる。ただし、日本のSSBJや有報とは直接関連しない。
In the global GX context
This paper provides a system dynamics modeling framework for urban power system decarbonization, applicable to many cities. The findings from Jinan offer insights for urban energy transition strategies globally.
👥 読者別の含意
🔬研究者:Offers a system dynamics methodology and scenario analysis for urban power system decarbonization.
🏢実務担当者:The identified regulatory factors and optimal path can guide city-level energy planning.
🏛政策担当者:Provides a quantitative basis for prioritizing industrial structure adjustment, energy efficiency, and storage technology.
📄 Abstract（原文）
The continuous advancement of urbanization is usually accompanied by a steady increase in urban energy consumption. A complex multi-factor influence network is embedded behind this positive correlation. By taking Jinan as the research object, a system dynamics model is constructed, which considers economy, energy, environment and other factors related to the urban power system (UPS). With electricity supply and demand as the clue, the key factors affecting carbon emissions of the UPS are traced. Low-carbon development path for the UPS is also designed. 4 key factors are identified, and they are categorized into 3 regulatory factors: industrial structure, energy storage technology, energy consumption intensity. They are used to design development scenario. In the suitable scenario combination, the GDP of the tertiary sector grows by 7% annually, energy storage equipment prices drop by 7% annually, the electricity consumption per GDP in the secondary sector drop by 3.3% annually. The average carbon emission intensity of the UPS can be reduced to 251.52 kgCO 2 /10 4 CNY during 2021-2025. The final suggestion for the UPS low-carbon development path is put forward: "industrial structure→energy consumption intensity→energy storage technology". These conclusions can provide scientific guidance for the low-carbon development of the UPS. • Builds a system dynamics model (economy-energy-environment) for UPS. • Identifies 4 key factors (3 regulatory dimensions) for Jinan’s UPS. • The CO 2 emission intensity will be optimized to 254.56 kgCO 2 /10 4 CNY. • Proposes “industrial structure→energy intensity→storage tech” optimal path.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.gerr.2026.100186first seen 2026-05-17 06:12:17 · last seen 2026-05-20 05:12:06
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